Audio-Visual Speech Synchrony Measure for Talking-Face Identity Verification

By Hervé Bredin, Gérard Chollet. 2007

54 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Fine-Grained Image Classification via Combining Vision and Language (2017, methodology): “Zhai et al. [24] propose to learn projection functions by the metric learning, and this method is further improved as Joint Representation Learning (JRL) [ 25] by adding other information such as semantic categories and semi-supervised information.”
Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals (2014, background): “Hybrid Bredin and Chollet (2007) Audio (MFCC), video (DCT of lip area) Biometric identification of talking face”
Multimodal fusion for multimedia analysis: a survey (2010, methodology): “In a recent work, Bredin and Chollet [19] proposed a biometric-based identification scheme of a talking face.”
Heterogeneous Metric Learning with Joint Graph Regularization for Cross-Media Retrieval (2013, methodology): “• CCA Canonical correlation analysis (Hotelling 1936) is widely used for cross-media relationship analysis (Kidron, Schechner, and Elad 2005; Bredin and Chollet 2007; Blaschko and Lampert 2007; Rasiwasia et al. 2010).”
Learning Cross-Media Joint Representation With Sparse and Semisupervised Regularization (2014, methodology): “Bredin and Chollet [31] applied CCA to the task of audiovisual-based talking-face biometric verification.”